Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Brain-specific proteins decline in the cerebrospinal fluid of humans with Huntington disease.

  PMID 18984577 · PMC2649809 · Molecular & cellular proteomics : MCP · 2009 · 8 claims · 6 setups

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  Brain-specific proteins are 1.8 times more likely to be observed in CSF than in plasma

  csf brain normal 2d-dige label-free isotopic

• Quantitative serum proteomics using dual stable isotope coding and nano LC-MS/MSMS.

  PMID 19817497 · PMC4684172 · Journal of proteome research · 2009 · 7 claims · 6 setups

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  DSIC labeling achieves high efficiency: 100% for Cysteine (acrylamide) and 98% for Lysine (succinic anhydride)

  standard dsic-labeled immunodepleted serum labeling quantitative in-solution

• Measurement reproducibility in the early stages of biomarker development.

  PMID 15665389 · PMC3839328 · Disease markers · 2004 · 6 claims · 3 setups

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  Functional PCA can be used as the basis for gauge R&R (repeatability and reproducibility) assessment of mass spectra without prior identification of which spectral features are biomarkers

  pooled same registered seldi-tof univariate functional

• Allelotyping of pooled DNA with 250 K SNP microarrays.

  PMID 17367522 · PMC1839100 · BMC genomics · 2007 · 8 claims · 5 setups

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  The polynomial based probe specific correction (PPC) algorithm is the most accurate method for estimating allele frequency from pooled DNA.

  pool nspi individual snp individual call

• Accurate prediction of metagenome-assembled genome completeness by MAGISTA, a random forest model built on alignment-free intra-bin statistics.

  PMID 35248155 · PMC8898458 · Environmental microbiome · 2022 · 7 claims · 7 setups

  Has reproduction · 83

  MAGISTA, a random forest model built on alignment-free intra-bin distance-distribution statistics, can estimate MAG completeness and purity without relying on reference marker genes.

  pooled hc227 contig sets shotgun novo alignment-free

• DNA bar coding and pyrosequencing to identify rare HIV drug resistance mutations.

  PMID 17576693 · PMC1934997 · Nucleic acids research · 2007 · 6 claims · 7 setups

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  DNA bar coding combined with pyrosequencing allows parallel, deep characterization of drug resistance mutations across many HIV populations in a single experiment

  hiv pooled plasma pyrosequencing conventional rt-pcr

• Proteomic approaches to cancer biomarkers.

  PMID 19931265 · PMC2873613 · Gastroenterology · 2010 · 8 claims · 8 setups

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  Combining abundant-protein depletion, offline fractionation, and subproteome (e.g., glycoproteome) enrichment with 2D LC-MS/MS increases the dynamic range and depth of blood proteome analysis for biomarker discovery.

  plasma serum capan-2 apcδ580 lectin silac elisa

• Mapping protein abundance patterns in the brain using voxelation combined with liquid chromatography and mass spectrometry.

  PMID 19654045 · PMC2818068 · Methods (San Diego, Calif.) · 2010 · 8 claims · 5 setups

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  Voxelation combined with LC-MS enables high-throughput spatial mapping of protein abundance across mouse brain voxels

  brain digested voxel amt-tag lc-ms bca

• Technology to accelerate pangenomic scanning for unknown point mutations in exonic sequences: cycling temperature capillary electrophoresis (CTCE).

  PMID 17697348 · PMC2042502 · BMC genetics · 2007 · 8 claims · 5 setups

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  CTCE eliminates the need for laboratory optimization of separation conditions for each exonic target sequence.

  pcr-amplified target exonic cycling ctce

• Incorporation of genetic model parameters for cost-effective designs of genetic association studies using DNA pooling.

  PMID 17634103 · PMC1947971 · BMC genomics · 2007 · 8 claims · 4 setups

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  A closed-form approximation to the F-test non-centrality parameter (NCP) incorporating genetic model parameters (disease allele frequency, marker allele frequency, prevalence, genotype relative risk, sample size, genetic model, number of pools/replicates, machine variability) can be used to compute power for DNA pooling association studies

  modeled analytic factorial power